Краткое описание — Пошаговая инструкция по развёртыванию open-source Xray-core с протоколом VLESS+Reality на VPS. Для DevOps-инженеров, разработчиков и системных администраторов которым нужен защищённый туннель между серверами или клиентами с активной DPI-классификацией трафика. Применимо для корпоративных VPN, удалённого администрирования, защиты IoT-инфраструктуры и mesh-сетей.
Обновлено: апрель 2026
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
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The limits of the free tier say that you can create up to 4 instances.
| # LLM Wiki — [YOUR FIELD] | |
| A personal knowledge base of [YOUR FIELD] papers, following [Karpathy's LLM Wiki pattern](https://gist.github.com/karpathy/1dd0294ef9567971c1e4348a90d69285): | |
| ``` | |
| Original PDF → sources/*.md (LLM summary) → wiki/{category}/*.md (final page) | |
| ``` | |
| **Language policy**: All wiki content is in English. Conversation can be in any language. |
The following provides commands for getting started with WinDbg if you've come from a Linux only background and have only used GDB and LLDB.
Some Windows operating system trials come as virtual hard disk (VHD) images, that state Hyper-V is required to use them. With macOS and VMware Fusion (at the time of writing, VMware Fusion 12.1.2), you can drag the executable files into VMware (the same as with ISO images) and install them normally. No subscriptions are required to obtain access to a DVD or ISO image if you do not have a system that uses Windows as the base operating system.
| i386 : iPhone Simulator | |
| x86_64 : iPhone Simulator | |
| arm64 : iPhone Simulator | |
| iPhone1,1 : iPhone | |
| iPhone1,2 : iPhone 3G | |
| iPhone2,1 : iPhone 3GS | |
| iPhone3,1 : iPhone 4 | |
| iPhone3,2 : iPhone 4 GSM Rev A | |
| iPhone3,3 : iPhone 4 CDMA | |
| iPhone4,1 : iPhone 4S |
| { | |
| "input": { | |
| "blocklist": [], | |
| "compressor#0": { | |
| "attack": 15.0, | |
| "boost-amount": 0.0, | |
| "boost-threshold": -72.0, | |
| "bypass": false, | |
| "dry": -80.01, | |
| "hpf-frequency": 10.0, |
| { | |
| "$schema": "https://github.com/fastfetch-cli/fastfetch/raw/dev/doc/json_schema.json", | |
| "logo": { | |
| "type": "auto", | |
| "source": "$HOME/.config/fastfetch/cachy.png", | |
| "width": 25, | |
| "height": 10, | |
| "padding": { | |
| "top": 2, |